Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

A comprehensive survey on artificial intelligence for unmanned aerial vehicles

S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …

[PDF][PDF] Task offloading and resource allocation in iot based mobile edge computing using deep learning

I Abdullaev, N Prodanova, KA Bhaskar… - … Materials & Continua, 2023 - cdn.techscience.cn
Recently, computation offloading has become an effective method for overcoming the
constraint of a mobile device (MD) using computationintensive mobile and offloading delay …

Deep reinforcement learning-based task offloading and resource allocation for industrial IoT in MEC federation system

HM Do, TP Tran, M Yoo - IEEe Access, 2023 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) has resulted in the development of intelligent
industrial systems known as Industrial IoT (IIoT). These systems integrate smart devices …

Service satisfaction-oriented task offloading and UAV scheduling in UAV-enabled MEC networks

J Tian, D Wang, H Zhang, D Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of computation-intensive applications, unmanned aerial vehicle (UAV)-
enabled multi-access edge computing (MEC) provides task offloading service for the users …

Robust trajectory and offloading for energy-efficient UAV edge computing in Industrial Internet of Things

X Tang, H Zhang, R Zhang, D Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Efficient data processing and computation are essential for the Industrial Internet of Things
(IIoT) to empower various applications, which can be significantly bottlenecked by the limited …

Adaptive trajectory tracking control for the quadrotor aerial transportation system landing a payload onto the mobile platform

H Yu, X Liang, J Han, Y Fang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Recently, it is becoming increasingly possible to apply aerial transportation systems to real-
world applications. However, current research works on cable-suspended transportation …

UAV-assisted multi-tier computing framework for IoT networks

A Tout, S Sharafeddine, N Abbas - Ad Hoc Networks, 2023 - Elsevier
Next-generation wireless networks are expected to support a massive amount of Internet of
Things (IoT) devices in delivering a wide range of novel resource-intensive applications. IoT …

Distributed computing and networking coordination for task offloading under uncertainties

S Xia, Z Yao, Y Li, Z Xing, S Mao - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
The multi-access edge computing (MEC) and ultra-dense network (UDN) are regarded as
essential and complementary technologies in the age of Internet of Things (IoT). Deploying …

Edge computing enabled energy-efficient multi-UAV cooperative target search

Q Luo, TH Luan, W Shi, P Fan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multiple unmanned aerial vehicles (UAVs) cooperative search have been widely adopted for
surveillance and search-related applications. For a certain search area, UAVs may need to …